A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation

Mohammed, Ahmed, Harris, Irina ORCID: https://orcid.org/0000-0003-0622-5123 and Govindan, Kannan 2019. A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. International Journal of Production Economics 217 , pp. 171-184. 10.1016/j.ijpe.2019.02.003

PDF - Accepted Post-Print Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (842kB)

Abstract

The growing interest in sustainability increases the challenges for decision makers in selecting the sustainable suppliers in which consider economic, environmental and social aspects. Particularly, decision makers are being increasingly motivated to improve their supply chain activities in coping efficiently with the objectives of sustainable development. Where the era of sustainability threatens the current supply chain partners to either cope with the new regulations of sustainability or leave the field for new players. Notwithstanding, most of the recent studies considered economic and green criteria in handling sustainable supplier selection and order allocation (SSS/OA) problems overlooking the social criteria which represents the third pillar of sustainability. This work aims at putting forward a hybrid Multi Criteria Decision-Making (MCDM)-Fuzzy Multi-Objective Optimization (FMOO) approach for a sustainable supplier selection and order allocation problem by considering economic, environmental and social criteria. Thus, an integrated Fuzzy AHP-Fuzzy TOPSIS is proposed to assess and rank suppliers according to three sets of criteria (i.e. conventional, green and social). A Multi-Objective Optimization Model (MOOM) is developed for choosing suppliers and allocating the optimal order quantities. To cope with the multiple uncertainties in the input data, the MOOM is reformulated into a Fuzzy Multi-Objective Optimization Model. The ε-constraint and LP-metrics approaches are used to reveal two sets of Pareto solutions based on the developed FMOO model. Finally, TOPSIS is applied to select the final Pareto solution that is closest to the ideal solution and furthest from the nadir solution. The effectiveness and the applicability of the developed hybrid MCDM-FMOO approach is demonstrated through a case study.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Publisher:	Elsevier
ISSN:	0925-5273
Funders:	European Regional Development Fund through the Welsh Government for ASTUTE 2020
Date of First Compliant Deposit:	1 May 2019
Date of Acceptance:	4 February 2019
Last Modified:	20 Nov 2024 21:45
URI:	https://orca.cardiff.ac.uk/id/eprint/122102

Actions (repository staff only)

Edit Item